Overview

Dataset statistics

Number of variables20
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory312.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Warnings

Dataset has 6 (0.3%) duplicate rows Duplicates
att9 is highly correlated with att20High correlation
att20 is highly correlated with att9High correlation
att4 is highly correlated with att26 and 1 other fieldsHigh correlation
att26 is highly correlated with att4 and 2 other fieldsHigh correlation
att41 is highly correlated with att27High correlation
att27 is highly correlated with att41High correlation
att34 is highly correlated with att26 and 1 other fieldsHigh correlation
att45 is highly correlated with att40High correlation
att40 is highly correlated with att45High correlation
att16 is highly correlated with att26 and 2 other fieldsHigh correlation
target has 200 (10.0%) zeros Zeros

Reproduction

Analysis started2020-10-08 15:03:30.678404
Analysis finished2020-10-08 15:04:51.078540
Duration1 minute and 20.4 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

att28
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.5359033
Minimum6.97255874
Maximum395.0077291
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:51.182632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6.97255874
5-th percentile66.48312046
Q1141.6171415
median192.4126599
Q3252.7727527
95-th percentile320.6767859
Maximum395.0077291
Range388.0351704
Interquartile range (IQR)111.1556113

Descriptive statistics

Standard deviation76.06082551
Coefficient of variation (CV)0.3909860556
Kurtosis-0.570538822
Mean194.5359033
Median Absolute Deviation (MAD)55.28799705
Skewness0.005491522369
Sum389071.8066
Variance5785.249177
MonotocityNot monotonic
2020-10-08T15:04:51.400239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
302.475834620.1%
 
96.41262820.1%
 
146.840185820.1%
 
146.840155620.1%
 
105.74742320.1%
 
179.073075420.1%
 
230.494801320.1%
 
293.896353710.1%
 
6.9725587410.1%
 
180.81714910.1%
 
257.973339510.1%
 
245.219449810.1%
 
293.596012710.1%
 
216.373197510.1%
 
155.667655510.1%
 
216.397959310.1%
 
155.79130810.1%
 
181.194699510.1%
 
114.982386810.1%
 
112.324221510.1%
 
235.479262710.1%
 
66.1697046710.1%
 
159.836123110.1%
 
164.278577910.1%
 
213.047878710.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
6.9725587410.1%
 
8.9792757410.1%
 
8.9933231910.1%
 
9.5225674110.1%
 
9.746045310.1%
 
10.8306528410.1%
 
10.9287395110.1%
 
12.8964385110.1%
 
15.8176616610.1%
 
17.8081169210.1%
 
ValueCountFrequency (%) 
395.007729110.1%
 
389.141192710.1%
 
385.667570910.1%
 
385.198990110.1%
 
370.864349110.1%
 
370.076238110.1%
 
365.87397810.1%
 
363.440548110.1%
 
362.385849910.1%
 
362.149320110.1%
 

att40
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.8940526
Minimum1.10704472
Maximum291.1148972
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:51.656459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.10704472
5-th percentile18.40970527
Q156.35875037
median108.3152015
Q3160.3623359
95-th percentile223.956118
Maximum291.1148972
Range290.0078525
Interquartile range (IQR)104.0035856

Descriptive statistics

Standard deviation65.21134487
Coefficient of variation (CV)0.5827954512
Kurtosis-0.7576569026
Mean111.8940526
Median Absolute Deviation (MAD)51.96769479
Skewness0.3127806884
Sum223788.1052
Variance4252.519499
MonotocityNot monotonic
2020-10-08T15:04:52.045726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
70.4077203420.1%
 
84.0912600220.1%
 
182.716895820.1%
 
182.716875820.1%
 
48.5609162420.1%
 
99.2772147820.1%
 
141.195179410.1%
 
126.39319110.1%
 
20.2546867910.1%
 
19.2822883210.1%
 
195.259473110.1%
 
58.0719502110.1%
 
40.2320253410.1%
 
118.20948410.1%
 
35.6671462810.1%
 
181.283969510.1%
 
27.9544863410.1%
 
21.0703403610.1%
 
176.798662210.1%
 
113.499380310.1%
 
114.488152110.1%
 
110.181660910.1%
 
190.555451410.1%
 
239.176803210.1%
 
159.397747310.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
1.1070447210.1%
 
1.9674658810.1%
 
3.2962160610.1%
 
4.661470410.1%
 
4.7371413410.1%
 
4.818303910.1%
 
4.8380838910.1%
 
4.8698603910.1%
 
4.9996673110.1%
 
5.2701250210.1%
 
ValueCountFrequency (%) 
291.114897210.1%
 
291.114858810.1%
 
289.659716910.1%
 
288.695531210.1%
 
284.912290210.1%
 
283.346154910.1%
 
280.131862110.1%
 
277.43057710.1%
 
277.430540810.1%
 
273.819126310.1%
 

att27
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.15653137
Minimum3.01594611
Maximum232.5260377
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:52.268415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.01594611
5-th percentile19.37335948
Q145.73860932
median69.61835776
Q398.27909822
95-th percentile150.664543
Maximum232.5260377
Range229.5100916
Interquartile range (IQR)52.5404889

Descriptive statistics

Standard deviation40.02596726
Coefficient of variation (CV)0.5325680487
Kurtosis0.6786576881
Mean75.15653137
Median Absolute Deviation (MAD)26.06675896
Skewness0.7898527115
Sum150313.0627
Variance1602.078055
MonotocityNot monotonic
2020-10-08T15:04:52.476876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
88.8448029420.1%
 
135.845118220.1%
 
60.0157930420.1%
 
54.829161520.1%
 
40.823732220.1%
 
40.8237241520.1%
 
61.5487892510.1%
 
78.6647412610.1%
 
59.7943160510.1%
 
103.548217610.1%
 
141.818517810.1%
 
42.2060924510.1%
 
110.566592310.1%
 
90.3013101510.1%
 
135.521675810.1%
 
103.699004810.1%
 
15.3129257610.1%
 
100.937753710.1%
 
62.0955570510.1%
 
75.1437359310.1%
 
35.2927883810.1%
 
127.187610810.1%
 
87.96548810.1%
 
62.7126427210.1%
 
96.8322078910.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
3.0159461110.1%
 
4.2816532210.1%
 
4.3562963710.1%
 
4.688650810.1%
 
5.8644773110.1%
 
5.9153450410.1%
 
6.0805330110.1%
 
6.1051114410.1%
 
6.5789105610.1%
 
6.9712061110.1%
 
ValueCountFrequency (%) 
232.526037710.1%
 
227.963607910.1%
 
224.387816510.1%
 
221.545946510.1%
 
220.492071310.1%
 
218.279884410.1%
 
213.048535110.1%
 
209.41040110.1%
 
205.691893210.1%
 
204.891114810.1%
 

att44
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.20676793
Minimum0.36292568
Maximum39.04993415
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:52.692159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.36292568
5-th percentile1.719155055
Q14.444497145
median7.41766917
Q311.84919807
95-th percentile23.52315124
Maximum39.04993415
Range38.68700847
Interquartile range (IQR)7.404700925

Descriptive statistics

Standard deviation6.780825618
Coefficient of variation (CV)0.7365044574
Kurtosis2.201399994
Mean9.20676793
Median Absolute Deviation (MAD)3.53769768
Skewness1.44577402
Sum18413.53586
Variance45.97959607
MonotocityNot monotonic
2020-10-08T15:04:52.924882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.2309035520.1%
 
3.1254740120.1%
 
12.8547319420.1%
 
6.2830343620.1%
 
3.1254809820.1%
 
4.4654210720.1%
 
2.1485385510.1%
 
8.4759640510.1%
 
23.9090257110.1%
 
5.7038268810.1%
 
6.9607962710.1%
 
4.1952597510.1%
 
3.2788867910.1%
 
1.9364299710.1%
 
7.8683596510.1%
 
9.586786310.1%
 
9.362678210.1%
 
8.6455628410.1%
 
29.995334810.1%
 
21.7461562710.1%
 
7.5195447910.1%
 
1.9367001510.1%
 
6.9043041110.1%
 
5.6157133310.1%
 
0.4232855110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.3629256810.1%
 
0.3788842610.1%
 
0.4232855110.1%
 
0.4374260110.1%
 
0.4681708410.1%
 
0.4750532410.1%
 
0.5209113910.1%
 
0.5332207510.1%
 
0.5434639310.1%
 
0.5624166510.1%
 
ValueCountFrequency (%) 
39.0499341510.1%
 
38.2667794510.1%
 
37.4069317910.1%
 
36.2935283710.1%
 
35.9317187610.1%
 
35.9261593210.1%
 
35.637443510.1%
 
35.1744864110.1%
 
35.0818617710.1%
 
35.0120721210.1%
 

att25
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9135093818
Minimum0.01121102
Maximum3.37945782
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:53.162606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01121102
5-th percentile0.189756715
Q10.5008659025
median0.86641801
Q31.238611475
95-th percentile1.85504296
Maximum3.37945782
Range3.3682468
Interquartile range (IQR)0.7377455725

Descriptive statistics

Standard deviation0.5285230135
Coefficient of variation (CV)0.578563312
Kurtosis0.7071396149
Mean0.9135093818
Median Absolute Deviation (MAD)0.368733555
Skewness0.7415928909
Sum1827.018764
Variance0.2793365758
MonotocityNot monotonic
2020-10-08T15:04:53.371316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.4053401420.1%
 
0.5937197720.1%
 
0.3671119720.1%
 
1.3440253420.1%
 
0.3671125420.1%
 
0.7015033120.1%
 
2.2345446720.1%
 
1.0727124110.1%
 
0.2067549610.1%
 
0.8209506610.1%
 
0.1985430910.1%
 
0.5488933510.1%
 
1.4605974210.1%
 
0.8228065910.1%
 
1.1004977710.1%
 
1.0708305510.1%
 
0.2916375210.1%
 
1.2218958410.1%
 
0.9311829810.1%
 
0.2075283510.1%
 
1.3054250710.1%
 
1.3241409910.1%
 
0.0610667410.1%
 
1.1545364810.1%
 
0.3313634210.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0112110210.1%
 
0.0326252210.1%
 
0.0326257110.1%
 
0.0401833310.1%
 
0.0401838110.1%
 
0.0486265710.1%
 
0.0493450310.1%
 
0.0497719210.1%
 
0.0503434310.1%
 
0.0536048110.1%
 
ValueCountFrequency (%) 
3.3794578210.1%
 
3.3078043710.1%
 
3.2645185710.1%
 
3.0574957310.1%
 
2.9962948310.1%
 
2.9299050910.1%
 
2.8125333410.1%
 
2.7203410610.1%
 
2.6989996910.1%
 
2.69035510.1%
 

att37
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.876955
Minimum0.00974869
Maximum430.269146
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:53.605310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00974869
5-th percentile8.204851084
Q140.41612365
median91.66766437
Q3163.7264941
95-th percentile311.2942794
Maximum430.269146
Range430.2593973
Interquartile range (IQR)123.3103705

Descriptive statistics

Standard deviation91.3942474
Coefficient of variation (CV)0.8025701721
Kurtosis0.4600550268
Mean113.876955
Median Absolute Deviation (MAD)58.50821588
Skewness1.013354718
Sum227753.9101
Variance8352.908458
MonotocityNot monotonic
2020-10-08T15:04:53.812511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112.325110520.1%
 
1.3781660420.1%
 
151.512429820.1%
 
112.325116520.1%
 
36.3077257720.1%
 
45.2707544120.1%
 
30.414348210.1%
 
57.2377234710.1%
 
178.559512510.1%
 
206.236543210.1%
 
3.1453411410.1%
 
70.1932676410.1%
 
314.499647410.1%
 
326.870621510.1%
 
8.4738451310.1%
 
39.715618310.1%
 
18.3213834410.1%
 
87.466655510.1%
 
17.4075133410.1%
 
157.290820710.1%
 
101.31364410.1%
 
129.286507710.1%
 
91.557960210.1%
 
75.5210955810.1%
 
39.806893210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0097486910.1%
 
0.0558000810.1%
 
0.0978767610.1%
 
0.28464710.1%
 
0.5076878810.1%
 
0.5323200410.1%
 
0.6168993710.1%
 
0.6347325310.1%
 
0.6644207410.1%
 
0.7566814110.1%
 
ValueCountFrequency (%) 
430.26914610.1%
 
418.773560410.1%
 
413.899762710.1%
 
410.270282210.1%
 
407.234457210.1%
 
406.716033710.1%
 
403.121188310.1%
 
397.501893110.1%
 
395.030822410.1%
 
394.258636610.1%
 

att13
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.9928962
Minimum4.60701809
Maximum332.7293332
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:54.036057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.60701809
5-th percentile30.47044286
Q174.14888979
median120.3197793
Q3177.1210581
95-th percentile246.1743856
Maximum332.7293332
Range328.1223151
Interquartile range (IQR)102.9721683

Descriptive statistics

Standard deviation67.64058036
Coefficient of variation (CV)0.5284713635
Kurtosis-0.6304483544
Mean127.9928962
Median Absolute Deviation (MAD)50.39929666
Skewness0.3790488784
Sum255985.7924
Variance4575.248111
MonotocityNot monotonic
2020-10-08T15:04:54.245399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
153.38842720.1%
 
245.542373420.1%
 
279.029827720.1%
 
237.270374820.1%
 
115.916713120.1%
 
153.388420120.1%
 
152.622310910.1%
 
78.1524369110.1%
 
15.2005975210.1%
 
149.267747510.1%
 
154.414381310.1%
 
110.521549610.1%
 
35.8126686210.1%
 
179.870149910.1%
 
204.266753710.1%
 
55.2902985910.1%
 
78.0659326510.1%
 
166.853856610.1%
 
64.135850610.1%
 
189.397443710.1%
 
159.017898610.1%
 
47.9030252610.1%
 
54.7861593910.1%
 
263.268454710.1%
 
72.3751292510.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
4.6070180910.1%
 
5.7750243910.1%
 
6.0477236110.1%
 
6.4341099210.1%
 
6.7495053710.1%
 
6.7802250710.1%
 
8.2463429910.1%
 
8.266110810.1%
 
8.7049032210.1%
 
9.3729436410.1%
 
ValueCountFrequency (%) 
332.729333210.1%
 
332.729316310.1%
 
318.495949610.1%
 
307.530289310.1%
 
307.530248810.1%
 
305.745691310.1%
 
304.74768410.1%
 
304.312208210.1%
 
301.173675610.1%
 
296.157610710.1%
 

att20
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1991
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3415502828
Minimum0.00728802
Maximum1.85812481
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:54.478452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00728802
5-th percentile0.0668899445
Q10.17572506
median0.304815915
Q30.4593935075
95-th percentile0.747491116
Maximum1.85812481
Range1.85083679
Interquartile range (IQR)0.2836684475

Descriptive statistics

Standard deviation0.2185355604
Coefficient of variation (CV)0.6398342249
Kurtosis2.617685152
Mean0.3415502828
Median Absolute Deviation (MAD)0.14239194
Skewness1.19091592
Sum683.1005656
Variance0.04775779118
MonotocityNot monotonic
2020-10-08T15:04:54.719312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2295341220.1%
 
0.3786616220.1%
 
0.3216608520.1%
 
0.3454598320.1%
 
0.2618489620.1%
 
0.3454599520.1%
 
0.177091820.1%
 
0.2898352220.1%
 
0.4042212420.1%
 
0.0734846610.1%
 
0.2577882410.1%
 
0.2917147710.1%
 
0.2690694710.1%
 
0.1846785110.1%
 
0.1471464110.1%
 
0.2838360510.1%
 
0.4177585410.1%
 
1.0692896510.1%
 
0.4236988710.1%
 
0.1986897810.1%
 
0.1767622410.1%
 
0.2406896310.1%
 
0.4037804810.1%
 
0.0828983510.1%
 
0.2530912910.1%
 
Other values (1966)196698.3%
 
ValueCountFrequency (%) 
0.0072880210.1%
 
0.0087777210.1%
 
0.0096265510.1%
 
0.0117300410.1%
 
0.0184371710.1%
 
0.019313310.1%
 
0.0204253710.1%
 
0.0205267510.1%
 
0.0207916510.1%
 
0.0209846710.1%
 
ValueCountFrequency (%) 
1.8581248110.1%
 
1.7544025810.1%
 
1.2254301910.1%
 
1.1876538810.1%
 
1.1372105510.1%
 
1.1277434610.1%
 
1.1062738210.1%
 
1.1048089710.1%
 
1.0861106310.1%
 
1.0795966510.1%
 

att5
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.5196757
Minimum3.82278062
Maximum284.6488885
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:55.166663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.82278062
5-th percentile27.47951906
Q169.93835306
median106.6430709
Q3143.9951036
95-th percentile202.6889865
Maximum284.6488885
Range280.8261079
Interquartile range (IQR)74.05675054

Descriptive statistics

Standard deviation53.20206839
Coefficient of variation (CV)0.4857763506
Kurtosis-0.452504692
Mean109.5196757
Median Absolute Deviation (MAD)37.0345235
Skewness0.2992655374
Sum219039.3514
Variance2830.460081
MonotocityNot monotonic
2020-10-08T15:04:55.361442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51.1880854520.1%
 
197.306335820.1%
 
74.2477559320.1%
 
75.9187918720.1%
 
96.9855734220.1%
 
51.1881371220.1%
 
59.7505429910.1%
 
165.370510810.1%
 
89.9321921910.1%
 
175.482430610.1%
 
131.944242810.1%
 
120.71755410.1%
 
168.754924610.1%
 
235.496543810.1%
 
20.4394089110.1%
 
129.455170210.1%
 
88.2243689410.1%
 
217.279586410.1%
 
75.3651546510.1%
 
61.9981165910.1%
 
34.6103911510.1%
 
60.7111123310.1%
 
59.5371551910.1%
 
168.444986110.1%
 
121.022171110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
3.8227806210.1%
 
5.6056451110.1%
 
6.04266510.1%
 
6.5136453510.1%
 
6.6471562910.1%
 
6.783481610.1%
 
6.8511643510.1%
 
7.0794778410.1%
 
7.0795657310.1%
 
7.1935126910.1%
 
ValueCountFrequency (%) 
284.648888510.1%
 
268.174584910.1%
 
267.258187210.1%
 
262.817677310.1%
 
258.074065310.1%
 
254.599318610.1%
 
251.766975810.1%
 
248.642714210.1%
 
247.82922710.1%
 
247.754714510.1%
 

att26
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.49284138
Minimum0.4382199
Maximum52.67954467
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:55.572809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.4382199
5-th percentile3.139855601
Q18.074846388
median13.0863411
Q319.48489521
95-th percentile30.74200604
Maximum52.67954467
Range52.24132477
Interquartile range (IQR)11.41004882

Descriptive statistics

Standard deviation8.536847912
Coefficient of variation (CV)0.5890389393
Kurtosis0.9668274134
Mean14.49284138
Median Absolute Deviation (MAD)5.649020535
Skewness0.9221422773
Sum28985.68276
Variance72.87777228
MonotocityNot monotonic
2020-10-08T15:04:55.797454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
18.2166775320.1%
 
6.2981620520.1%
 
19.4219551120.1%
 
32.9583390820.1%
 
14.5642166820.1%
 
6.2981555120.1%
 
3.9035218810.1%
 
9.9059765810.1%
 
5.439233910.1%
 
3.0530220410.1%
 
20.4677404310.1%
 
11.3017732810.1%
 
21.5929610810.1%
 
20.7558047910.1%
 
13.3621269410.1%
 
7.6287453810.1%
 
17.2170527410.1%
 
6.1179411510.1%
 
6.0148905610.1%
 
8.0067452310.1%
 
11.4744107610.1%
 
19.4146485610.1%
 
4.6926841210.1%
 
17.3311957410.1%
 
4.1463563510.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.438219910.1%
 
0.5269014410.1%
 
0.5990249210.1%
 
0.7173303710.1%
 
0.8205136310.1%
 
0.944634510.1%
 
0.9543150210.1%
 
0.9543169610.1%
 
1.0463794510.1%
 
1.0569861110.1%
 
ValueCountFrequency (%) 
52.6795446710.1%
 
48.525235910.1%
 
47.7427915510.1%
 
47.2176866610.1%
 
46.6745864710.1%
 
46.5068614310.1%
 
46.4485094310.1%
 
46.3792595110.1%
 
46.2025086210.1%
 
44.6429054410.1%
 

att9
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.612038668
Minimum0.07383968
Maximum13.11504023
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:56.009725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.07383968
5-th percentile0.5200881765
Q11.36255202
median2.36196696
Q33.526661385
95-th percentile5.616474046
Maximum13.11504023
Range13.04120055
Interquartile range (IQR)2.164109365

Descriptive statistics

Standard deviation1.615522249
Coefficient of variation (CV)0.6184909394
Kurtosis1.907458092
Mean2.612038668
Median Absolute Deviation (MAD)1.0662191
Skewness1.05156426
Sum5224.077335
Variance2.609912138
MonotocityNot monotonic
2020-10-08T15:04:56.242234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.9761701220.1%
 
2.7803536720.1%
 
2.7803547320.1%
 
2.9205165420.1%
 
2.2874932420.1%
 
1.4397669820.1%
 
1.7829407710.1%
 
1.0020088610.1%
 
2.3562453610.1%
 
0.7501466910.1%
 
3.9852903810.1%
 
2.4610011410.1%
 
2.6756121610.1%
 
0.5840070910.1%
 
1.1034470810.1%
 
1.7354838510.1%
 
1.5080593110.1%
 
3.2015767610.1%
 
0.5128724810.1%
 
2.1153465110.1%
 
5.6536224910.1%
 
3.3588917910.1%
 
2.836409110.1%
 
6.2615883910.1%
 
4.199674210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0738396810.1%
 
0.0811297210.1%
 
0.1150340910.1%
 
0.1219459910.1%
 
0.1284231710.1%
 
0.1374960310.1%
 
0.1444478910.1%
 
0.1453529210.1%
 
0.1591419910.1%
 
0.1675686610.1%
 
ValueCountFrequency (%) 
13.1150402310.1%
 
12.3845092610.1%
 
8.6892420710.1%
 
8.6217922510.1%
 
8.4110481610.1%
 
8.2202891810.1%
 
8.1081418810.1%
 
8.0349182910.1%
 
7.9667194110.1%
 
7.8085949910.1%
 

att4
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.88189674
Minimum2.24086506
Maximum200.5580046
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:56.471080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.24086506
5-th percentile18.29729166
Q140.58710727
median63.22075769
Q394.25560132
95-th percentile142.8031966
Maximum200.5580046
Range198.3171395
Interquartile range (IQR)53.66849406

Descriptive statistics

Standard deviation38.34881033
Coefficient of variation (CV)0.5487660197
Kurtosis0.06742984942
Mean69.88189674
Median Absolute Deviation (MAD)25.89669149
Skewness0.6998273407
Sum139763.7935
Variance1470.631254
MonotocityNot monotonic
2020-10-08T15:04:56.690955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
95.2415592520.1%
 
146.651174320.1%
 
40.5870625620.1%
 
40.5871221720.1%
 
72.932386520.1%
 
79.6434067620.1%
 
114.549711110.1%
 
42.0932881210.1%
 
164.348351210.1%
 
47.9522883210.1%
 
96.4638192410.1%
 
81.4748314410.1%
 
143.18637610.1%
 
102.567628210.1%
 
119.185277510.1%
 
100.081933510.1%
 
101.335232210.1%
 
18.4333242310.1%
 
113.829570210.1%
 
87.8424743710.1%
 
62.8671857410.1%
 
59.2824342310.1%
 
27.6639132510.1%
 
25.7977865610.1%
 
30.1235101810.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
2.2408650610.1%
 
2.7061765310.1%
 
2.9745146810.1%
 
3.172727910.1%
 
3.1748720810.1%
 
3.58077910.1%
 
3.7836677610.1%
 
4.1053092210.1%
 
4.7117722910.1%
 
4.7375752610.1%
 
ValueCountFrequency (%) 
200.558004610.1%
 
198.646312110.1%
 
196.146901610.1%
 
194.192532610.1%
 
191.264613410.1%
 
189.77211610.1%
 
189.165645610.1%
 
188.421292810.1%
 
187.811592310.1%
 
187.491107110.1%
 

att7
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.5785649
Minimum0.04566031
Maximum463.1282641
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:56.919177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.04566031
5-th percentile14.18883492
Q160.87862379
median132.1459697
Q3220.408564
95-th percentile331.6178654
Maximum463.1282641
Range463.0826038
Interquartile range (IQR)159.5299402

Descriptive statistics

Standard deviation100.3973689
Coefficient of variation (CV)0.6802977721
Kurtosis-0.5632490146
Mean147.5785649
Median Absolute Deviation (MAD)77.76012224
Skewness0.51732685
Sum295157.1297
Variance10079.63168
MonotocityNot monotonic
2020-10-08T15:04:57.148748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
124.939282120.1%
 
124.939210120.1%
 
55.5157687220.1%
 
0.2580526120.1%
 
11.5879147220.1%
 
309.876554820.1%
 
292.425399610.1%
 
284.004438510.1%
 
230.791060510.1%
 
6.7103319710.1%
 
35.1231706910.1%
 
291.120406410.1%
 
238.572766810.1%
 
8.2809187510.1%
 
343.482105710.1%
 
21.5801449210.1%
 
11.3324815710.1%
 
218.712053910.1%
 
98.6748345710.1%
 
0.6241118310.1%
 
38.604305910.1%
 
102.324465310.1%
 
17.8600423210.1%
 
239.581135310.1%
 
219.287080110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0456603110.1%
 
0.1550472210.1%
 
0.2580526120.1%
 
0.4396147310.1%
 
0.5106537810.1%
 
0.5180962910.1%
 
0.5428792710.1%
 
0.6241118310.1%
 
0.6811288110.1%
 
0.8329510510.1%
 
ValueCountFrequency (%) 
463.128264110.1%
 
460.213303810.1%
 
447.557898410.1%
 
443.219098410.1%
 
438.586540210.1%
 
435.041091310.1%
 
426.933372810.1%
 
423.735469510.1%
 
421.882814710.1%
 
412.958097210.1%
 

att41
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.537383493
Minimum0.35118984
Maximum24.58382169
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:57.364308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.35118984
5-th percentile2.328528001
Q15.031431148
median6.98285296
Q39.394055772
95-th percentile14.51770837
Maximum24.58382169
Range24.23263185
Interquartile range (IQR)4.362624625

Descriptive statistics

Standard deviation3.757990088
Coefficient of variation (CV)0.4985801891
Kurtosis1.869983584
Mean7.537383493
Median Absolute Deviation (MAD)2.151557
Skewness1.063416604
Sum15074.76699
Variance14.1224895
MonotocityNot monotonic
2020-10-08T15:04:57.584825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5.0314911720.1%
 
6.9544079320.1%
 
8.5116045520.1%
 
12.2703036920.1%
 
5.0312507820.1%
 
5.0312510820.1%
 
8.3168585820.1%
 
9.5164843110.1%
 
10.1981364210.1%
 
18.764801510.1%
 
7.0977277910.1%
 
4.8704022210.1%
 
6.3512242310.1%
 
5.8709688910.1%
 
7.0069702710.1%
 
7.9632303410.1%
 
9.5481630910.1%
 
4.3524015910.1%
 
6.6709228610.1%
 
9.7226547710.1%
 
8.1302447510.1%
 
7.436187510.1%
 
4.245288210.1%
 
9.3996906310.1%
 
7.4839737210.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.3511898410.1%
 
0.5095698410.1%
 
0.5776535710.1%
 
0.5920002110.1%
 
0.6782011310.1%
 
0.7426779210.1%
 
0.8193693410.1%
 
0.8715013610.1%
 
0.8743535210.1%
 
0.9424498810.1%
 
ValueCountFrequency (%) 
24.5838216910.1%
 
24.1904870110.1%
 
23.9398368310.1%
 
23.6345833310.1%
 
23.1293131410.1%
 
22.5688092510.1%
 
22.2207056210.1%
 
21.7181572710.1%
 
21.5835715410.1%
 
21.5064518810.1%
 

att34
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.486391955
Minimum0.03186483
Maximum9.58893702
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:57.818658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03186483
5-th percentile0.5332079495
Q11.343751945
median2.224730215
Q33.346010035
95-th percentile5.364175185
Maximum9.58893702
Range9.55707219
Interquartile range (IQR)2.00225809

Descriptive statistics

Standard deviation1.509829829
Coefficient of variation (CV)0.6072372564
Kurtosis1.250348532
Mean2.486391955
Median Absolute Deviation (MAD)0.99206334
Skewness0.9999058074
Sum4972.78391
Variance2.279586112
MonotocityNot monotonic
2020-10-08T15:04:58.195137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.2528390620.1%
 
5.7361421320.1%
 
0.9795898820.1%
 
0.9795907420.1%
 
2.3748325620.1%
 
3.3127143420.1%
 
1.4045244110.1%
 
4.9482196910.1%
 
2.6755544510.1%
 
6.5578336910.1%
 
1.2274945610.1%
 
0.2897023810.1%
 
0.983796510.1%
 
1.4874647310.1%
 
2.2454682110.1%
 
1.5245042110.1%
 
1.1853400810.1%
 
2.3278775210.1%
 
3.6830083210.1%
 
1.711075110.1%
 
1.8266749410.1%
 
3.6695117910.1%
 
3.8169137610.1%
 
2.7157798410.1%
 
2.4238645410.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0318648310.1%
 
0.0577927610.1%
 
0.1184780810.1%
 
0.1265470910.1%
 
0.1284955910.1%
 
0.1373754910.1%
 
0.1396522510.1%
 
0.1396526610.1%
 
0.1403615710.1%
 
0.1439616710.1%
 
ValueCountFrequency (%) 
9.5889370210.1%
 
8.6578220410.1%
 
8.6379063410.1%
 
8.6354464110.1%
 
8.6287116210.1%
 
8.3224966110.1%
 
8.3130615110.1%
 
8.2425077110.1%
 
8.2280443510.1%
 
8.166968210.1%
 

att14
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.214171109
Minimum0.00570986
Maximum1.22361928
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:58.410153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00570986
5-th percentile0.0391104725
Q10.1101806625
median0.185248605
Q30.2876795925
95-th percentile0.4830052205
Maximum1.22361928
Range1.21790942
Interquartile range (IQR)0.17749893

Descriptive statistics

Standard deviation0.145772649
Coefficient of variation (CV)0.6806363832
Kurtosis4.172704697
Mean0.214171109
Median Absolute Deviation (MAD)0.0865105
Skewness1.51892297
Sum428.3422179
Variance0.02124966519
MonotocityNot monotonic
2020-10-08T15:04:58.655513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3017483420.1%
 
0.0282138820.1%
 
0.3478588720.1%
 
0.0934412620.1%
 
0.1948523620.1%
 
0.0934414420.1%
 
0.2718080720.1%
 
0.0988475610.1%
 
0.1509885610.1%
 
0.0793432110.1%
 
0.48247510.1%
 
0.0545176910.1%
 
0.1695125410.1%
 
0.0230496810.1%
 
0.0816894810.1%
 
0.0813215410.1%
 
0.0859819210.1%
 
0.05332810.1%
 
0.1889644810.1%
 
0.3341170310.1%
 
0.3054305110.1%
 
0.2891217410.1%
 
0.0410138110.1%
 
0.2239833110.1%
 
0.2655816710.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0057098610.1%
 
0.0058867810.1%
 
0.0060950410.1%
 
0.0071288110.1%
 
0.0074266810.1%
 
0.008007910.1%
 
0.0084574510.1%
 
0.0097410310.1%
 
0.0110715110.1%
 
0.0111535410.1%
 
ValueCountFrequency (%) 
1.2236192810.1%
 
1.1150742110.1%
 
1.0064710.1%
 
0.9583563910.1%
 
0.9547518210.1%
 
0.940507910.1%
 
0.8656862110.1%
 
0.8310437510.1%
 
0.8286319110.1%
 
0.7988685110.1%
 

att18
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.0588391
Minimum4.6924618
Maximum408.6651757
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:58.883974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.6924618
5-th percentile43.78734287
Q198.0917974
median145.9561978
Q3202.0959009
95-th percentile293.1979001
Maximum408.6651757
Range403.9727139
Interquartile range (IQR)104.0041035

Descriptive statistics

Standard deviation74.83418391
Coefficient of variation (CV)0.4857506674
Kurtosis-0.2428609086
Mean154.0588391
Median Absolute Deviation (MAD)50.80790904
Skewness0.4940193993
Sum308117.6782
Variance5600.155082
MonotocityNot monotonic
2020-10-08T15:04:59.101358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25.5747025620.1%
 
185.64413820.1%
 
289.763077620.1%
 
25.5746309520.1%
 
139.847046320.1%
 
126.587590620.1%
 
160.171438310.1%
 
89.7178630410.1%
 
144.856657310.1%
 
36.3988766710.1%
 
185.860056310.1%
 
20.3690640810.1%
 
183.783723610.1%
 
285.612645110.1%
 
240.678591710.1%
 
100.411363910.1%
 
111.14805210.1%
 
108.4922110.1%
 
80.8135681210.1%
 
29.972138210.1%
 
127.125722610.1%
 
336.557302710.1%
 
119.076789110.1%
 
117.285142810.1%
 
258.659958810.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
4.692461810.1%
 
4.8638763510.1%
 
5.0067042410.1%
 
6.0080827110.1%
 
11.361864810.1%
 
12.020059310.1%
 
12.3045720110.1%
 
14.9647739310.1%
 
16.5445288210.1%
 
16.7999735210.1%
 
ValueCountFrequency (%) 
408.665175710.1%
 
392.861613910.1%
 
385.12762210.1%
 
374.773980510.1%
 
367.32341110.1%
 
364.305748110.1%
 
362.413008610.1%
 
357.537146710.1%
 
352.591327910.1%
 
350.618528210.1%
 

att45
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.40561557
Minimum0.75313
Maximum218.8772
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:59.335948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.75313
5-th percentile13.01600864
Q140.33246101
median83.12598727
Q3127.6117921
95-th percentile174.0755741
Maximum218.8772
Range218.12407
Interquartile range (IQR)87.27933104

Descriptive statistics

Standard deviation52.0275353
Coefficient of variation (CV)0.6021314119
Kurtosis-0.9914117205
Mean86.40561557
Median Absolute Deviation (MAD)43.53441366
Skewness0.2657973671
Sum172811.2311
Variance2706.864429
MonotocityNot monotonic
2020-10-08T15:04:59.545627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
48.4796574420.1%
 
160.045243520.1%
 
93.0997605120.1%
 
160.045227820.1%
 
26.0428795920.1%
 
95.3796021120.1%
 
91.4517298910.1%
 
136.819384210.1%
 
32.4628250910.1%
 
22.2951901210.1%
 
148.655915810.1%
 
28.4893937410.1%
 
121.458818710.1%
 
21.3822522610.1%
 
126.063202810.1%
 
41.7339526210.1%
 
115.098799810.1%
 
108.951411910.1%
 
79.3661199210.1%
 
38.1408483210.1%
 
116.273063910.1%
 
135.452255910.1%
 
129.295324510.1%
 
174.777998210.1%
 
24.8012508410.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.7531310.1%
 
1.1617191310.1%
 
1.2062574410.1%
 
1.690101710.1%
 
1.6922762110.1%
 
2.9231949410.1%
 
3.3160915710.1%
 
3.3433305510.1%
 
3.3508519210.1%
 
3.4399454310.1%
 
ValueCountFrequency (%) 
218.877210.1%
 
218.492148910.1%
 
216.500644910.1%
 
216.500640210.1%
 
212.309552210.1%
 
211.844594810.1%
 
208.14338910.1%
 
208.027810210.1%
 
207.165197810.1%
 
207.165193610.1%
 

att16
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.21414345
Minimum0.52874142
Maximum133.4146749
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:04:59.763004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.52874142
5-th percentile9.860596267
Q123.22498835
median36.3095613
Q354.14056552
95-th percentile84.08826474
Maximum133.4146749
Range132.8859335
Interquartile range (IQR)30.91557717

Descriptive statistics

Standard deviation22.87432543
Coefficient of variation (CV)0.5688129465
Kurtosis0.5855152977
Mean40.21414345
Median Absolute Deviation (MAD)15.25363472
Skewness0.8272261529
Sum80428.2869
Variance523.2347637
MonotocityNot monotonic
2020-10-08T15:04:59.984751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
54.3578630220.1%
 
47.3299175920.1%
 
89.0939050620.1%
 
43.0016184920.1%
 
19.894807720.1%
 
19.8947831620.1%
 
21.6638324110.1%
 
25.7056964510.1%
 
97.0588079110.1%
 
32.8695003810.1%
 
52.0729249110.1%
 
68.9383078810.1%
 
56.5490462810.1%
 
12.3158360410.1%
 
38.7699472610.1%
 
19.5801267710.1%
 
40.4404924510.1%
 
64.9458445610.1%
 
92.3509593810.1%
 
27.3584574210.1%
 
26.8504559810.1%
 
22.0947797210.1%
 
53.2156378310.1%
 
31.3379848610.1%
 
14.5279459410.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.5287414210.1%
 
0.9913142310.1%
 
1.4077007310.1%
 
1.4077209110.1%
 
1.478560210.1%
 
2.2532271210.1%
 
2.34041110.1%
 
2.7025708810.1%
 
2.7936362910.1%
 
2.8556222810.1%
 
ValueCountFrequency (%) 
133.414674910.1%
 
127.03315310.1%
 
122.579761610.1%
 
122.549269710.1%
 
121.149239910.1%
 
120.739607410.1%
 
120.049282610.1%
 
119.138245710.1%
 
116.841548410.1%
 
116.165399410.1%
 

target
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Memory size15.8 KiB
2020-10-08T15:05:00.180665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotocityIncreasing
2020-10-08T15:05:00.327653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 
ValueCountFrequency (%) 
020010.0%
 
120010.0%
 
220010.0%
 
320010.0%
 
420010.0%
 
520010.0%
 
620010.0%
 
720010.0%
 
820010.0%
 
920010.0%
 
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 

Interactions

2020-10-08T15:03:32.557051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:32.797406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:32.996462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:33.187666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:33.394076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:33.615500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:33.804136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:34.002188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:34.209890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:34.402170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:34.596537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:34.952908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:35.161358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:35.350791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:35.548620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:35.745671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:35.946811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:36.156174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:36.344450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:36.546103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:36.754740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:36.950264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:37.135061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:37.312104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:37.525857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:37.722629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:37.908752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:38.094037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:38.300085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:38.479779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:38.667540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:38.855680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:39.049660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:39.243735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:39.429974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:39.608449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:39.816252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:40.012785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:40.191242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:40.565406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:40.754781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:40.939198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.114224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.297920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.482438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.658996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.823392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:41.994845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:42.170361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:42.337477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:42.506982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:42.679028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:42.863466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.039603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.210722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.378469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.566605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.764665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:43.931162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:44.110791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:44.274279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:44.484676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:44.683489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:44.888613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:45.095061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:45.298280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:45.488755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:45.687969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:46.067414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:46.258581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:46.452140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:46.648434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:46.857664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:47.048661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:47.241513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:47.434135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:47.638557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:47.846844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:48.038353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:48.240793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:48.429619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:48.635256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:48.856260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:49.044100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:49.250245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:49.448473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:49.637554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:49.834233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:50.055328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:50.265689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:50.452923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:50.661741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:50.863592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:51.059013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:51.246651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:51.432802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:51.787545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.001946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.192438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.389761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.587255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.773281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:52.943994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:53.155137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:53.335331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:53.515762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:53.692281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:53.866060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.046106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.217126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.384001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.556845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.741617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:54.927519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.105103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.271152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.456237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.649218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.812451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:55.995630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:56.187017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:56.402373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:56.591204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:03:56.773550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-08T15:04:36.904470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:37.099768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:37.303998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:37.491381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:37.681330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:37.876512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:38.071599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:38.288828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:38.486773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:38.694403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:38.882309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.066979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.237369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.397981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.576008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.751466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:39.915258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.086052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.266353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.433935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.598179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.769835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:40.954077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:41.286933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:41.459729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:41.626223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:41.800864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:41.981977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:42.143855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:42.318273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:42.482343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:42.679618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:42.871191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:43.050910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:43.247844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:43.442378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:43.624406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:43.820657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.014972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.198487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.383588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.576118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.787110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:44.974986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:45.172963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:45.363387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:45.561633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:45.771856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:45.957992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:46.153769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:46.332850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:46.678393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:46.855242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.027132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.212078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.388077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.550017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.722251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:47.903070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.079985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.245627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.416471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.601204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.760701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:48.928095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:49.102430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:49.273883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:49.452723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:49.626982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:49.802693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-08T15:05:00.517010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-08T15:05:00.936669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-08T15:05:01.338502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-08T15:05:01.937409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-10-08T15:04:50.159198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:04:50.867549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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06.9725599.85891513.9928839.7110700.623083158.81841099.0252770.324292171.55421411.9025972.60164675.806559206.4160271.3998911.8755990.100592303.83300820.00724837.2036730
191.36731370.68189953.1913998.1406330.41420534.59725787.9464170.05492985.1871168.0067450.39056642.369276253.5695746.6744121.3487410.136957186.41168444.53671122.8372290
294.03994230.09359071.3699554.5309210.32819610.92466217.7603770.11311954.4481777.7812160.93739931.744786389.9807467.8582111.3365170.138112168.42073126.29217020.8921050
3112.68860030.56408561.2574393.7060230.69283921.05474955.0371740.24513757.1817608.2261201.97326851.196682256.1746457.0977281.3262510.190329178.92386513.43231125.1282720
486.05021330.24247375.9633201.8062730.38470383.42188671.5124370.14495248.5090259.6954861.11729237.325052238.5727679.0157141.7214860.076843216.61517723.68930024.9014280
5192.06998897.581195197.3789232.5928091.961769120.75162358.4553650.087589120.58660035.8531470.754167142.718378193.36303421.3353056.3823640.65234658.28889664.44868193.3242450
627.7570106.63712817.1884377.1442621.208892197.23781882.2617480.292321149.90677021.7964232.232918120.28591266.8730062.1104403.5639130.113185357.53714710.64254964.3943200
770.58100411.40940149.8464266.8391670.106852186.39162521.5121620.156483107.2237911.7625501.31860415.007775247.3804547.0624440.4316650.070617240.29764915.5158052.7025710
859.64469511.60986123.7247422.8519161.672488260.5831719.3889650.066007191.23956023.2347780.539381120.85058370.5074553.5442093.8711270.348530408.66517615.30469866.9309820
992.75718431.4185709.9985112.1199441.01515482.95699446.9919710.156555151.13712316.9457801.259536107.554523115.8311682.4584062.6659730.164024217.45307619.08945552.9585990

Last rows

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1990180.771650243.80576236.0483387.5890920.33633651.077151112.9877430.190508101.1128693.6130681.46532123.01860795.8774724.0711780.6057090.115961117.013965186.40612310.8288279
1991137.806050118.52179063.07592014.6412231.239357203.056511279.8555460.48945191.72677117.7112483.71441194.88381872.7086656.2146652.9459970.38207387.368294111.94686951.4189379
1992114.630338216.84038455.6529043.0831840.25496061.50001757.2341950.1462876.7834825.8720391.19020635.33686076.2844835.7937400.9338940.055534114.628189160.05557118.0007779
1993164.537953140.06132331.0680486.2743440.63285239.680506102.2682590.068556132.4981665.3451430.57804438.737913218.9903255.1216890.8026650.206913308.74791594.69126317.7381029
1994131.139056264.35448098.76669410.8416451.33441640.43607671.6368660.150842204.76410424.0427850.977226133.11885842.4082828.4501203.9377180.241640137.579702203.40476870.9876619
1995117.619304229.87833052.0394578.6725270.18984762.84118424.5130530.025583136.8638626.3152540.17566120.07257383.5359376.3769951.1403910.011154208.440440152.79162515.5373769
1996225.396554224.79606459.1258211.3890840.3228883.504044142.1118810.12867663.6514748.6898291.00200836.255929107.0020517.2823181.4982260.047798110.037593161.71698123.3402229
1997111.954510122.97170759.1512824.6436210.34057998.027607164.8024430.22273271.3380448.1662051.86079047.77226076.9722706.2501611.3175200.087639205.344730101.47204024.6159949
1998155.791308175.41877224.94355216.1092660.064075138.9557349.3729440.14852481.6594200.5990251.21212211.19121338.1444353.5637930.1265470.023670236.350320126.6844362.7936369
1999146.840186182.71687640.8237323.1254810.367113112.325111153.3884200.34546051.1881376.2981622.78035440.587122124.9392825.0312510.9795910.09344125.574631160.04524319.8948089

Duplicate rows

Most frequent

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096.41262899.27721588.8448034.4654210.701503151.512430245.5423730.17709275.91879214.5642171.43976779.64340755.5157698.5116052.3748330.194852139.84704693.09976143.00161862
1146.840156182.71689640.8237243.1254740.367112112.325117153.3884270.34546051.1880856.2981562.78035540.587063124.9392105.0312510.9795900.09344125.574703160.04522819.89478362
2146.840186182.71687640.8237323.1254810.367113112.325111153.3884200.34546051.1881376.2981622.78035440.587122124.9392825.0312510.9795910.09344125.574631160.04524319.89480892
3179.07307584.09126060.0157936.2830341.34402536.307726279.0298280.37866296.98557318.2166782.97617072.9323860.2580535.0314913.2528390.028214126.58759148.47965747.32991832
4230.49480148.56091654.8291613.2309041.4053401.378166237.2703750.40422174.24775619.4219552.92051795.24155911.5879156.9544083.3127140.301748289.76307826.04288054.35786352
5302.47583570.407720135.84511812.8547322.23454545.270754115.9167130.321661197.30633632.9583392.287493146.651174309.87655512.2703045.7361420.347859185.64413895.37960289.09390572